Research Intern

Job summary

Responsibilities

We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers.

• Own a research project from start to finish, from framing the question and running experiments to writing and submitting a paper.
• Push agent evaluation forward, for example by extending τ-bench to new domains, modalities, or long-horizon tasks, or by building new ways to measure reliability and consistency.
• Study how agents reason, use tools, and follow policies over multi-turn conversations, and find out where and why they fail.
• Explore post-training methods such as supervised fine-tuning and reinforcement learning to improve agent behavior, and measure the gains rigorously.
• Work with large-scale, proprietary datasets of text and audio interactions to find research questions grounded in real customer problems.

What they're looking for

• Currently pursuing a PhD in computer science, machine learning, or a related field.
• A research track record, such as first-author publications or submissions at venues like NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP.
• Strong experimental skills: you design clean experiments, build careful baselines, and are honest about what the results do and do not show.
• Fluency in Python and modern ML tooling (for example, PyTorch, and LLM inference and training stacks).
• High agency and a builder’s mindset. You’ll work across the stack to get an experiment running.

Tech stack

• Python
• PyTorch